Agriculture, an essential bedrock of human survival, continually grapples with the menace of
plant diseases, culminating in substantial yield reductions. While conventional detection …

A key difficulty in agriculture are plant leaf diseases and destructive insects. The
development of early treatment options for leaf diseases should be aided by faster and more …

Plant diseases pose a major threat to agricultural production and the food supply chain, as
they expose plants to potentially disruptive pathogens that can affect the lives of those who …

Digital image processing has witnessed a significant transformation, owing to the adoption
of deep learning (DL) algorithms, which have proven to be vastly superior to conventional …

Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …

With the rapid population growth, increasing agricultural productivity is an extreme
requirement to meet demands. Early identification of crop diseases is essential to prevent …

Plant diseases are one of the grand challenges that face the agriculture sector worldwide. In
the United States, crop diseases cause losses of one-third of crop production annually …

Providing food for the exponentially growing global population is a highly challenging task.
Owing to the demand and supply gap may diminish food production due to diseases in …

A country's economy heavily depends on agricultural development. However, due to several
plant diseases, crop growth rate and quality are highly suffered. Accurate identification of …

In this paper, convolutional neural network models were developed to perform plant disease
detection and diagnosis using simple leaves images of healthy and diseased plants …